1,236 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"Dr" Fellowship positions
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program focuses on AI-driven analysis of multimodal neural data, in close collaboration with leading experimental neuroscience groups at UBC and internationally. Project Recent advances in neuroscience have
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Research Fellowship (PRF) for PhD MSE Program Location Rio Grande Valley, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Mechanical
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Fellow (RF) with an interest in computational biology. The RF will work on a project aiming to understand how to predict the microbial community under environmental pressure and use the insights to develop
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addressing the atomic origin of imperfections within Josephson junctions and the ramifications for quantum computing. This work is part of a multi-institution project involving RMIT, Rigetti Computing
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The L’Oréal USA Fellowships for Women in Science program is a national awards program that annually recognizes and rewards five U.S.-based women researchers at the beginning of their scientific
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the intersection of programming languages and artificial intelligence (PL+AI), in particular verification and large language models. Our main goal is to create a PL+AI system that is the best at verified program
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numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale computing and want to broaden your skills? Would
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NIFA supports research, educational, and extension efforts in a wide range of scientific fields related to agricultural and behavioral sciences. In all of these areas, you will find NIFA working in pursuit of our vision. To address contemporary agricultural challenges, we seek to catalyze...
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a Pharmaceutical Innovation Programme Singapore research project where you
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Are you interested in developing interpretable AI models for the next generation of green syntheses? Do you have experience in AI/Machine Learning, or computational modelling of organic reactions